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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Machine Learning-Based COVID-19 Patients Triage Algorithm Using Patient-Generated Health Data from Nationwide Multicenter Database
Min Sue Park, Hyeontae Jo, Haeun Lee, et al.
Infectious Diseases and Therapy (2022) Vol. 11, Iss. 2, pp. 787-805
Open Access | Times Cited: 15

Showing 15 citing articles:

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
Gokul Krishnan, Shiana Singh, Monika Pathania, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 139
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16
Machine learning-driven COVID-19 early triage and large-scale testing strategies based on the 2021 Costa Rican Actualidades survey
Carlos Pasquier, Maikol Solís, Vivian Vílchez Barboza, et al.
Mathematics in Medical and Life Sciences (2025) Vol. 2, Iss. 1
Open Access
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Goizalde Badiola-Zabala, José Manuel López-Guede, Julián Estévez, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 3
Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach
Hyeontae Jo, Hong Jun Jeon, Junseok Ahn, et al.
Sleep Medicine (2024) Vol. 119, pp. 312-318
Closed Access | Times Cited: 3
Increased morality through social communication or decision situation worsens the acceptance of robo-advisors
Clarissa Sabrina Arlinghaus, Carolin Straßmann, Annika Dix
(2024)
Open Access | Times Cited: 2
Le numérique et l'infectiologie — Livre blanc du groupe d'infectiologie digitale de la société de pathologie infectieuse de langue française
Salam Abbara, Aurélien Dinh, L. Luong Nguyen, et al.
Médecine et Maladies Infectieuses Formation (2024) Vol. 3, Iss. 2, pp. 62-72
Closed Access | Times Cited: 1
In silico transcriptional analysis of asymptomatic and severe COVID-19 patients reveals the susceptibility of severe patients to other comorbidities and non-viral pathological conditions
Poonam Sen, Harpreet Kaur
Human Gene (2022) Vol. 35, pp. 201135-201135
Open Access | Times Cited: 5
Using machine learning models to predict the duration of the recovery of COVID-19 patients hospitalized in Fangcang shelter hospital during the Omicron BA. 2.2 pandemic
Yü Xu, Ye Wei, Qiuyue Song, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 4
Improved Metaheuristics with Deep Autoencoders for COVID-19 Detection and Classification
Manish K. Assudani, B Nirmala, N. Kanimozhi, et al.
(2023), pp. 01-06
Closed Access | Times Cited: 1
Machine learning-driven COVID-19 early triage and large-scale testing strategies based on the 2021 Costa Rican Actualidades survey
Carlos Pasquier, Maikol Solís, Vivian Vílchez Barboza, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Fuzzy based classification and COVID-19 Patient’s Data analysis
Manisha Shinde-Pawar, Alok Shah, Madhumita Nayak, et al.
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. 3
Open Access | Times Cited: 2
DEVELOPMENT OF FUZZY INFERENCE SYSTEM FOR COVID-19 DATA ANALYSIS
Manisha Shinde-Pawar, Jagadish H. Patil, Alok Shah, et al.
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. 4, pp. 693-699
Open Access | Times Cited: 1
Detecting the most critical clinical variables of COVID-19 breakthrough infection in vaccinated persons using machine learning
Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, et al.
Digital Health (2023) Vol. 9
Open Access
Prediction of massive transfusions in neurosurgical operations using machine learning
Kanisorn Sungkaro, Chin Taweesomboonyat, Anukoon Kaewborisutsakul
Asian Journal of Transfusion Science (2022)
Closed Access
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